Last refreshed 2026-05-31
Based on 3 AI engines across 1 buyer language.
AI Readiness pillars
How Curly & Smooth Handels GmbH performs against the three pillars buyers care about when sourcing via AI.
Weight 40% · Do multiple AI engines recognise you and tell a consistent story
Weight 30% · When buyers ask AI to source in your niche, do you come up
Weight 30% · How AI engines rate you on quality, reliability, pricing
What AI says
AI引擎对Curly & Smooth Handels GmbH的信息掌握极为有限,该公司是德国的一家礼品供应商。综合近期查询,该公司得分为100分中的14分(暗信号),其中最强维度为身份与存在感,得分为100分中的30分,最弱维度为AI推荐率,得分为100分中的0分。在3个测试的AI引擎中(Claude Haiku、gemini-2.5-flash、deepseek-chat),有1个引擎在身份、采购及信任提示方面返回了关于该公司的实质性信息。AI引擎未发现该供应商的任何具体产品信息,这直接影响了产品清晰度维度,该维度得分为100分中的10分。AI回复中未出现任何认证或第三方验证信息,这限制了买家信任维度(得分为100分中的20分)及AI推荐率(得分为100分中的0分)。最大的改进机会在于AI推荐率维度,下方的改进路线图列出了供应商可执行的具体行动,并按预期得分提升效果进行了排序。
AI engine breakdown
One row per AI engine. Aggregates identity, sourcing, trust, and verdict queries.
| AI Engine | Found | Sentiment | Rating | Products mentioned | Certifications |
|---|---|---|---|---|---|
| Claude Haiku | 1 / 4 | neutral | — | None | None |
| Gemini 2.5 Flash | 0 / 4 | not found | — | None | None |
| DeepSeek | 0 / 4 | not found | — | None | None |
Improvement Roadmap
Concrete actions to lift this supplier's Signal Score, ranked by impact. Generated from the latest audit.
- 1
Register company on Google Business Profile and German B2B directories
+15 ptsAI engines found the company by name only 1 of 12 times, indicating minimal web presence. Register on Google Business Profile (with complete address, phone, website), plus HubSpot, Crunchbase, and German directories like Kompass and Wer-zu-wem. This establishes foundational discoverability so AI systems encounter the company across multiple authoritative sources.
Identity & PresenceLow effort
- 2
Add structured product schema to website homepage and category pages
+18 ptsAI mentioned zero specific products despite the company being in Gifts. Add JSON-LD Schema.org markup (Product, Offer types) to all product pages naming categories, materials, and use cases. This enables AI engines to extract product details automatically rather than inferring nothing, directly lifting AI Recommendation Rate.
Product ClarityMedium effort
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